Fusion of hyperspectral data using segmented PCT for color representation and classification

Fusion of hyperspectral data is proposed by means of partitioning the hyperspectral bands into subgroups, prior to principal components transformation (PCT). The first principal component of each subgroup is employed for image visualization. The proposed approach is general, with the number of bands in each subgroup being application dependent. Nevertheless, the paper focuses on partitions with three subgroups suitable for RGB representation. One of them employs matched-filtering based on the spectral characteristics of various materials and is very promising for classification purposes. The information content of the hyperspectral bands as well as the quality of the obtained RGB images are quantitatively assessed using measures such as the correlation coefficient, the entropy, and the maximum energy-minimum correlation index. The classification performance of the proposed partitioning approaches is tested using the K-means algorithm.     

Alteration of aspartate 101 in the active site of Escherichia coli alkaline phosphatase enhances the catalytic activity

The function of aspartic acid residue 101 in the active siteof Escherichia coli alkaline phosphatase was investigated bysite-specific mutagenesis. A mutant version of alkaline phosphatasewas constructed with alanine in place of aspartic acid at position101. When kinetic measurements are carried out in the presenceof a phosphate acceptor, 1.0 M Tris, pH 8.0, both the k_cat andthe K_m, for the mutant enzyme increase by –2-fold, resultingin almost no change in the k_cat/K_m ratio. Under conditions ofno external phosphate acceptor and pH 8.0, both the k_cat andthe K_m for the mutant enzyme decrease by {small tilde}2-fold,again resulting in almost no change in the k_cat/K_m ratio. Thek_cat for the hydrolysis of 4-methyl-umbelliferyl phosphate andp-nitrophenyl phosphate are nearly identical for both the wild-typeand mutant enzymes, as is the K₁ for inorganic phosphate. Thereplacement of aspartic acid 101 by alanine does have a significanteffect on the activity of the enzyme as a function of pH, especiallyin the presence of a phosphate acceptor. At pH 9.4 the mutantenzyme exhibits 3-fold higher activity than the wild-type. Themutant enzyme also exhibits a substantial decrease in thermalstability: it is half inactivated by treatment at 49°C for15 min compared to 71°C for the wild-type enzyme. The datareported here suggest that this amino acid substitution altersthe rates of steps after the formation of the phospho-enzymeintermediate. Analysis of the X-ray structure of the wild-typeenzyme indicates that the increase in catalytic rate of themutant enzyme in the presence of a phosphate acceptor may bedue to an increase in accessibility of the active site nearSerl02. The increased catalytic rate of this mutant enzyme maybe utilized to improve diagnostic tests that require alkalinephosphatase, and the reduced heat stability of the mutant enzymemay make it useful in recombinant DNA techniques that requirethe ability to heat-inactivate the enzyme after use.     

Augmented reality in language learning: A state-of-the-art review of 2014–2019

This systematic review study synthesizes research findings pertaining to the use of augmented reality (AR) in language learning. Published research from 2014 to 2019 has been explored and specific inclusion and exclusion criteria have been applied resulting in 54 relevant publications. Our findings determined: (a) devices and software employed for mastering AR; languages and contexts in which AR had been applied; theoretical perspectives adopted for guiding the use of AR; the number of participants in AR activities and benefits from using AR as an educational tool in the language classroom; (b) alignment of the affordances of Augmented Reality with the KSAVE (Knowledge, Skills, Attitudes, Values, Ethics) 21st-century skills framework; (c) future directions in AR research and practice. The main findings from this review demonstrate the popularity of mobile-based AR for supporting vocabulary (23.9%), reading (12.7%), speaking (9.9%) writing (8.5%) or generic language skills (9.9%). Our findings also uncovered areas that merit future attention in the application of AR in language learning – for instance learning theories were not often considered in the implementation of AR. The study concludes with suggestions for future research especially in the areas of instructional design and user experience.     

Local difference patterns for drunk person identification

In this work, facial thermal infrared images are employed for intoxicated person discrimination. Specifically, the region of the forehead of the face of the sober and the corresponding intoxicated person is used to test if the employed Local Difference Patterns (LDPs) constitute discriminative features. For an intoxicated person, vessels on the forehead become more active so that the intensity of the pixels in this region is affected accordingly. The LDPs employed ignore orientation of the pixels distribution and give emphasis on the first and second norms of the differences as well as the ordered values of the pixels in the employed kernels. The statistics of the LDPs for the drunk person are different from those of the sober one and accordingly drunkenness can be ascertained by comparing the thermal infrared image of the corresponding sober and intoxicated person. Six from the eight LDPs examined to be used as features for drunk identification were proved successful. Their classification success rate was over 73 and up to 85%. The proposed method can be incorporated into a non-invasive inspection commercial system to be used by the police as a first step for intoxicated person detection. Forty one participants in the experiment have contributed to the creation of the unique sober–drunk database which is available on the web and contains over 4.000 images.     

Controlling the thickness of electrochemically produced porous alumina membranes: the role of the current density during the anodization

A study of the thickness growth rate of anodized porous alumina membranes (PAMs) and its connection to the current density during the anodization process is presented. Several samples of PAMs were prepared in a hydrate solution of 0.3 M oxalic acid, under applied voltages of 40 and 50 V with varying solution temperatures in a purpose-built electrochemical cell. The thickness of the PAMs produced under these conditions was measured using cross section images taken by scanning electron microscopy (SEM). From these measurements, a linear expression between the growth rate of PAMs and the current density during the anodization is deduced, giving an efficiency value of 53 and 65 % for applied voltages 40 and 50 V, respectively. In steady state conditions, i.e., after the stabilization of the anodization current, this linear dependence is very conveniently transformed into linear dependence of thickness versus total anodization time, providing thus a simple method for controlling the thickness of the produced membranes. Finally, from the Arrhenius-type plot of the thickness growth rate versus temperature and the anodization current density vs temperature a mean value of 48.5 kJ mol^?1 for the aluminum oxide formation activation energy E _a is deduced.     

Fusion of visible and infrared imagery for night color vision

A combined approach for fusing night-time infrared with visible imagery is presented in this paper. Night color vision is thus accomplished and the final scene has a natural day-time color appearance. Fusion is based either on non-negative matrix factorization or on a transformation that takes into consideration perceptual attributes. The final obtained color images possess a natural day-time color appearance due to the application of a color transfer technique. In this way inappropriate color mappings are avoided and the overall discrimination capabilities are enhanced. Two different data sets are employed and the experimental results establish the overall method as being efficient, compact and perceptually meaningful.     

Effect of moisture and filler content on the structural,thermal and dielectric properties of polyamide‐6/boehmite alumina nanocomposites

Polyamide‐6 (PA‐6)/boehmite alumina (BA) nanocomposites were prepared via direct melt compounding. Structural, thermal and dielectric properties of ‘as‐received’ (including moisture) and ‘dried’ (thermally treated) specimens were examined. The BA nanofiller was homogeneously dispersed in the PA‐6 matrix. XRD and FTIR revealed that crystallization of PA‐6 in the γ phase was favoured over α phase with increasing BA content. The crystallinity index (CI) and the percentage of α and γ phases were also evaluated. Dried specimens exhibited a lower CI than as‐received specimens while the CI decreased with the addition of filler. Broadband dielectric spectroscopy revealed the presence of γ, β and α relaxations, the Maxwell–Wagner–Sillars effect and the contribution of conductivity relaxation in the as‐received samples. The drying procedure unmasked a double feature of both β and α modes. The results of the complementary techniques were analysed and the effects of moisture and/or the incorporation of BA nanofiller on the microstructure of the PA‐6 matrix are disclosed. © 2019 Society of Chemical Industry     

La1−xSrxMyFe1−yO3−δ perovskites as oxygen-carrier materials for chemical-looping reforming

The use of perovskites with the general formula La_1−xSr_xM_yFe_1−yO₃ (M = Ni, Co, Cr, Cu) as oxygen carriers for syngas generation from methane by Chemical Looping Reforming is investigated in the present work. The experimental study concerns the oxidation of a fuel, using the oxygen from a solid oxygen carrier, instead of oxygen from air. Subsequent oxidation of the reduced solid is performed either with gaseous oxygen or with water. In the latter case additional hydrogen is produced, which is very pure and therefore appropriate to be used in fuel cell applications. The performance of the candidate materials is ranked by taking into account the hydrogen and carbon monoxide yields during the fuel oxidation step as well as the amount of oxygen per mole solid (δ) that can be delivered reversibly to the fuel. The effect of the materials composition and of NiO addition is examined. The best performance was obtained with the La_0.7Sr_0.3Cr_0.1Fe_0.9O₃ sample mixed with 5% NiO. The H₂ yield was up to 90%.     

Computer-mediated communication in computer-assisted language learning: implications for culture-centered design

This study explores the research development pertaining to computer-mediated communication (CMC) in the field of computer-assisted language learning (CALL). The basic premise of this study is that language and consequently communication are essential elements of culture; thus, deep understanding of the role of technology in facilitating communication in online environments can deepen our understanding of the notion of culture and contribute to the specification of a universal design approach in culture-centered design. The authors applied a six-stage approach for conducting a systematic review of the research development in CALL between January 2009 and September 2010. This approach resulted in the development of the CALL map which consisted of 11 themes with which CALL researchers are concerned. This study focuses on CMC, a category which maintains its popularity for more than a decade, thus sustaining itself as a major area in the field. The review brings to the forefront key themes and findings of research in these areas, as well as core concepts emerging from the literature. The study discusses empirical findings and delineates how CMC can enhance language learning, concluding with possible future directions and implications for research and practice.